FDTD-based multipath exploitation for through-wall radar imaging in the framework of CS

Abstract

Multipath exploitation for through-wall radar imaging (TWRI) under the framework of compressive sensing (CS) is a promising method to obtain a high-resolution image with limited number of measurements. The capability of the existing method is limited due to the model error caused by approximated dictionary matrix calculated using ray optics method. In this paper, multipath propagation is calculated by finite-difference time domain (FDTD) technique and then compensated to obtain the linear inverse model correctly. Afterwards, sparse reconstruction is used to solve this linear inverse problem. Numerical results demonstrate that the proposed approach yields high resolution image free of multipath ghosts, thus allowing to increase the signal-to-clutter ratio image.